{"id":"W4394403687","doi":"10.6084/m9.figshare.19738858","title":"Supplementary Material","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001506697,0.001414015,0.001347214,0.003819925,0.001123482,0.002693959,0.001909004,0.001690401,0.4728822],"category_scores_gemma":[0.01155508,0.0008253845,0.0007478882,0.01025057,0.0004134501,0.002315413,0.001843005,0.00148991,0.2281522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002235502,"about_ca_system_score_gemma":0.004127262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04781013,"about_ca_topic_score_gemma":0.07955946,"domain_scores_codex":[0.9988295,0.0001471735,0.000208236,0.0003590541,0.0002420996,0.0002139578],"domain_scores_gemma":[0.9947191,0.001966509,0.0004966729,0.0007045234,0.001717191,0.0003959259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003480846,0.00001056733,0.0007477125,0.0007466771,0.00001771348,0.00001351536,0.00001790103,0.0001841797,0.00006240542,0.0006429489,0.9958465,0.001675158],"study_design_scores_gemma":[0.0002282023,0.00001210005,0.004672663,0.0005333977,0.00002966694,0.00003652383,0.0001054178,0.0001294006,0.0001408676,0.002041836,0.9920447,0.00002525226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002453289,0.00001338955,0.00002409473,0.00001840264,0.000009516541,0.00000480242,0.9994393,0.00003090486,0.000435004],"genre_scores_gemma":[0.0002654074,0.00004608216,0.0002274222,0.00007828156,0.000006561352,0.00009618628,0.9979831,0.00007079478,0.001226051],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5271178,"threshold_uncertainty_score":0.7518696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04624541302937401,"score_gpt":0.2252671839044179,"score_spread":0.1790217708750438,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}